
<h1><span class="yiyi-st" id="yiyi-12">numpy.resize</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.resize.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.resize.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.resize"><span class="yiyi-st" id="yiyi-13"> <code class="descclassname">numpy.</code><code class="descname">resize</code><span class="sig-paren">(</span><em>a</em>, <em>new_shape</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/core/fromnumeric.py#L1096-L1158"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-14">返回具有指定形状的新数组。</span></p>
<p><span class="yiyi-st" id="yiyi-15">If the new array is larger than the original array, then the new array is filled with repeated copies of <em class="xref py py-obj">a</em>. </span><span class="yiyi-st" id="yiyi-16">请注意，此行为与使用零填充而不是<em class="xref py py-obj">a</em>的重复副本的a.resize（new_shape）不同。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-17">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-18"><strong>a</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-19">数组要调整大小。</span></p>
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<p><span class="yiyi-st" id="yiyi-20"><strong>new_shape</strong>：int或tuple的整数</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-21">调整数组的形状。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-22">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-23"><strong>reshaped_array</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-24">新数组由旧数组中的数据形成，如有必要可重复填充所需数量的元素。</span><span class="yiyi-st" id="yiyi-25">数据按照存储在存储器中的顺序重复。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-26">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-27"><a class="reference internal" href="numpy.ndarray.resize.html#numpy.ndarray.resize" title="numpy.ndarray.resize"><code class="xref py py-obj docutils literal"><span class="pre">ndarray.resize</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-28">就地调整数组大小。</span></dd>
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<p class="rubric"><span class="yiyi-st" id="yiyi-29">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">],[</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">a</span><span class="p">,(</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
<span class="go">array([[0, 1, 2],</span>
<span class="go">       [3, 0, 1]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">a</span><span class="p">,(</span><span class="mi">1</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
<span class="go">array([[0, 1, 2, 3]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">a</span><span class="p">,(</span><span class="mi">2</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
<span class="go">array([[0, 1, 2, 3],</span>
<span class="go">       [0, 1, 2, 3]])</span>
</pre></div>
</div>
</dd></dl>
